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Online since: December 2014
Authors: Yan Ying Li, Yong Sheng Zhang
Material parameters and loading conditions
In this project, the relative data is as follows: the grade of concrete intensity is C40; the elasticity modulus ; Poisson’s ratio ; linear expansibility ; the density ; proportional elastic limit ; collapsing strength the concrete could obtain .
If the structure load is relative with the temperature reduction, the calculation mode is.
At the beginning, the effect of load and the temperature reduction is undertaken, so the referenced temperature is T0=0.
At the same time the strain measuring point in the location of pouring span in the axes is compared with the calculation result under the condition of the temperature reduction.
In these data, the test element in the surface plate spot keeps well and the tested data conforms to the theory calculation result.
If the structure load is relative with the temperature reduction, the calculation mode is.
At the beginning, the effect of load and the temperature reduction is undertaken, so the referenced temperature is T0=0.
At the same time the strain measuring point in the location of pouring span in the axes is compared with the calculation result under the condition of the temperature reduction.
In these data, the test element in the surface plate spot keeps well and the tested data conforms to the theory calculation result.
Online since: November 2003
Authors: Zhi Hong Huang, Margaret Lucas, Michael J. Adams
This indicates that stress superposition and friction
reduction alone cannot explain the reduction in load.
(a) (b) Fig. 3 Measured mean force-displacement data for ultrasonic upsetting a D0 = 40 mm Plasticine specimen under (a) 1 second of longitudinal and (b) 10seconds of radial ultrasonic die oscillations.
The thermal and mechanical property data obtained from experimental tests are included in the program, as shown in Fig. 4.
A reduced kinematic value of the coefficient of friction, to simulate the reduction in friction during ultrasonic loading, was selected on a basis that resulted in the minimum difference between the experimental and numerical data.
(a) (b) Figure 6 (a) measured mean compression force and (b) FE predicted compression force vs. die displacement curve during ultrasonic upsetting, inset (b) shows a comparison of predicted (…) and measured () data during superimposed vibration.
(a) (b) Fig. 3 Measured mean force-displacement data for ultrasonic upsetting a D0 = 40 mm Plasticine specimen under (a) 1 second of longitudinal and (b) 10seconds of radial ultrasonic die oscillations.
The thermal and mechanical property data obtained from experimental tests are included in the program, as shown in Fig. 4.
A reduced kinematic value of the coefficient of friction, to simulate the reduction in friction during ultrasonic loading, was selected on a basis that resulted in the minimum difference between the experimental and numerical data.
(a) (b) Figure 6 (a) measured mean compression force and (b) FE predicted compression force vs. die displacement curve during ultrasonic upsetting, inset (b) shows a comparison of predicted (…) and measured () data during superimposed vibration.
Online since: June 2020
Authors: Chee Ming Chan, Mohammed Mansoor Gubran
Thus, the reduction, immediately after mixing, in DMS was higher by 3.5 % compared to kaolin.
The displacement was recorded automatically to a data logger.
They found that much reduction in MC after 7 days compared to after mixing.
However, the reduction in MC after mixing seemed to be higher in this study for all tested soils compared to the reported data by [10].
-Untreated specimens showed great reduction in Mv as the vertical stress increased.
The displacement was recorded automatically to a data logger.
They found that much reduction in MC after 7 days compared to after mixing.
However, the reduction in MC after mixing seemed to be higher in this study for all tested soils compared to the reported data by [10].
-Untreated specimens showed great reduction in Mv as the vertical stress increased.
Online since: February 2012
Authors: Shahrir Nurhaiza, Mohd Khairol Anuar Mohd Arrifin
Hashemian , there are 3 sources of Data for predictive maintenance which are existing sensor-based maintenance techniques, test sensor-based maintenance techniques and test signal based maintenance techniques (Refer Fig. 4).
CONDITION MONITORING IMPLEMENTATION The equipment stores all the process sensors readings inside a data log-file.
A Microsoft Access programmed with macro on a server and then linked to all the 8 diffusion equipment was developed to automatically extract the required data at a specified time.
Each Bubbler Tube Pressure and its level readings are stored in the computer system inside a data log file.
These data are being extracted using Microsoft Access twice a day and exported into a SQL database.
CONDITION MONITORING IMPLEMENTATION The equipment stores all the process sensors readings inside a data log-file.
A Microsoft Access programmed with macro on a server and then linked to all the 8 diffusion equipment was developed to automatically extract the required data at a specified time.
Each Bubbler Tube Pressure and its level readings are stored in the computer system inside a data log file.
These data are being extracted using Microsoft Access twice a day and exported into a SQL database.
Online since: October 2012
Authors: Yan Yi Zhang, Zu Wen Yan, Hong Jun Li
The Shear strength reduction method (SSRM) was firstly used for slope stability analysis by Zienkiewicz et al[3].
Acknowledgements The financial support by the Foundation of the State Key Laboratory of Coastal and Offshore Engineering (LP1016), special scientific research foundation of China Institute of Water Resources and Hydropower Research (Yanji1211) and the National Nature Science Foundation of China (51009021) and experimental data and technological supports from professor Shao Longtan and Zhao Jie are gratefully acknowledged.
C. (1992): Finite element slope stability analysis by shear strength reduction technique.
H. and Drescher A. (1999): Slope stability analysis by strength reduction, Geotechnique, 1999, 49 (6):835-840
L. (2002): Analysis on safety factor of slope by strength reduction FEM.
Acknowledgements The financial support by the Foundation of the State Key Laboratory of Coastal and Offshore Engineering (LP1016), special scientific research foundation of China Institute of Water Resources and Hydropower Research (Yanji1211) and the National Nature Science Foundation of China (51009021) and experimental data and technological supports from professor Shao Longtan and Zhao Jie are gratefully acknowledged.
C. (1992): Finite element slope stability analysis by shear strength reduction technique.
H. and Drescher A. (1999): Slope stability analysis by strength reduction, Geotechnique, 1999, 49 (6):835-840
L. (2002): Analysis on safety factor of slope by strength reduction FEM.
Online since: June 2014
Authors: K.P. Ramya, M.K. Revathi, P. Annapandi, R. Chithra Devi
Instead, to need scalable and flexible end-to-end data stream management solutions, ranging from real-time low latency alerting and monitoring, ad-hoc analysis and early data reduction on raw streaming data, to long-term analysis of processed data.
Sensor Data Encoding Figure 1.
Sensor Data Hiding.
Sensor Data Decoding Figure 3.
Sensor Data Decoding Image Decryption Original Image Encryption Key Encrypted Image Embedding Key Extracting Sensor Data Sensor Data Image with Hidden Data Extracting Encrypted Image Inter-Packet Delay Generation Watermarked Data Network Secret Key In this section, a detailed description of sensor data decoding and data recovery is given.
Sensor Data Encoding Figure 1.
Sensor Data Hiding.
Sensor Data Decoding Figure 3.
Sensor Data Decoding Image Decryption Original Image Encryption Key Encrypted Image Embedding Key Extracting Sensor Data Sensor Data Image with Hidden Data Extracting Encrypted Image Inter-Packet Delay Generation Watermarked Data Network Secret Key In this section, a detailed description of sensor data decoding and data recovery is given.
Online since: September 2013
Authors: Ai Feng Huang, Yong Tao Li, Jun Chen, Gao Hu Sun
At the right side of the bifurcation, the water level would raise and the velocity would reduce, and the maximum reduction of which would be 1.667m/s.
The result of model validation was as follows: the computational diversion ratio of the bifurcation was 25.33%, and the measured data was 25.7 %, and the error was -1.44%.
The velocity of right side would reduce, and the maximum reduction would be 1.667m/s.
The water level of bifurcation’s left side would reduce obviously, and the maximum reduction would be 0.178m.
The velocity of right side would reduce, and the maximum reduction would be 1.667m/s, while the velocity of feature point a would be increased by 0.118m/s.
The result of model validation was as follows: the computational diversion ratio of the bifurcation was 25.33%, and the measured data was 25.7 %, and the error was -1.44%.
The velocity of right side would reduce, and the maximum reduction would be 1.667m/s.
The water level of bifurcation’s left side would reduce obviously, and the maximum reduction would be 0.178m.
The velocity of right side would reduce, and the maximum reduction would be 1.667m/s, while the velocity of feature point a would be increased by 0.118m/s.
Online since: June 2015
Authors: Rusmidah Ali, Wan Azelee Wan Abu Bakar, Susilawati Toemen
The structure of the catalyst was characterized by X-ray diffraction (XRD) using Cu Kα radiation (λ=1.54060 Å) and the data was collected from 2θ of 20o to 80o.
The data of BET surface area, pore size and pore volume are shown in Table 1.
Generally, the addition an appropriate amount of strontia leads to the different reduction temperature.
The lower reduction temperature shoulder peak over this catalyst was located at 220oC related to the reduction of manganese oxide species.
The reduction temperature of 300oC was evaluated from TPR analysis in Figure 3 above.
The data of BET surface area, pore size and pore volume are shown in Table 1.
Generally, the addition an appropriate amount of strontia leads to the different reduction temperature.
The lower reduction temperature shoulder peak over this catalyst was located at 220oC related to the reduction of manganese oxide species.
The reduction temperature of 300oC was evaluated from TPR analysis in Figure 3 above.
Online since: May 2012
Authors: Run Xia He, Quan Sheng Liu, Fang Wu, Chen Liang Zhou, Ke Duan Zhi, Hai Bo Yao
The crystalline phases were identified by reference to powder diffraction data (PDF).
Each curve in Fig.3(a) can be distinguished into four reduction peaks, i.e., two low-temperature peaks and two high-temperature peaks, denoted as α, β, γ and λ.
The peaks of α and β can be attribute to the reduction of surface and moderate dispersed CuO and Mn4O3, while the peaks of γ and λ can be ascribed to the reduction of the large isolated and inner copper-manganese-lanthanum oxide phase.
The reduction curves in Fig.3(b) exhibits two peaks, a low and a high-temperature peak.
The reduction peak positions of H2 and CO-TPR as shown in Fig.3 decreased with the increase of La-doping rate, it can be concluded that the doped La has greatly enhanced the synergistic effect of catalysts.
Each curve in Fig.3(a) can be distinguished into four reduction peaks, i.e., two low-temperature peaks and two high-temperature peaks, denoted as α, β, γ and λ.
The peaks of α and β can be attribute to the reduction of surface and moderate dispersed CuO and Mn4O3, while the peaks of γ and λ can be ascribed to the reduction of the large isolated and inner copper-manganese-lanthanum oxide phase.
The reduction curves in Fig.3(b) exhibits two peaks, a low and a high-temperature peak.
The reduction peak positions of H2 and CO-TPR as shown in Fig.3 decreased with the increase of La-doping rate, it can be concluded that the doped La has greatly enhanced the synergistic effect of catalysts.
Online since: December 2010
Authors: Fang Yu, Xiao Wei Han, Yan Zhao, Li Hua Wu
The comparison of the simulation and measured signal timing data is reported.
1.
So in this design, power consumption reduction is considered.
Proportion of power reduction 5.
The long line design and clock tree are proven to effective using the measured data from a test chip.
Anderson, “Clock Gating Architectures for FPGA Power Reduction” 10.1109/FPL.5272538 , pp112-118 (2009) [3] Xilinx “Spartan and Spartan-XL FPGA Families Data Sheet” (2008) [4] Xilinx “Spartan-3 FPGA Family Data Sheet” (2009) [5] L.
So in this design, power consumption reduction is considered.
Proportion of power reduction 5.
The long line design and clock tree are proven to effective using the measured data from a test chip.
Anderson, “Clock Gating Architectures for FPGA Power Reduction” 10.1109/FPL.5272538 , pp112-118 (2009) [3] Xilinx “Spartan and Spartan-XL FPGA Families Data Sheet” (2008) [4] Xilinx “Spartan-3 FPGA Family Data Sheet” (2009) [5] L.